Year | ASA Biopharmaceutical Section Student Paper Award at the ICSA/ISBS 2013 Joint Conference |
2016 | Lijia Wang, Emory University |
A latent class modeling approach for predicting kidney obstruction based on renogram data and expert ratings in the absence of a gold standard | |
Xiaolu Zhu, University of Illinois UrbanaChampaign | |
Individualizing drug dosage with longitudinal data | |
2015 | Qingning Zhou, University of Missouri |
A sieve semiparametric maximum likelihood approach for regression analysis of bivariate interval-censored failure time data | |
Wei Ding, University of Michigan | |
Composite likelihood approach in Gaussian copula regression models with missing data | |
2014 | Guanhua Chen, The University of North Carolina at Chapel Hill |
Personalized dose finding using outcome weighted learning | |
Cheng Zheng, University of Washington | |
Survival rates prediction when training data and target data have different measurement error | |
2013 | Danjie Zhang, University of Connecticut |
Assessing Model Fit in Joint Models of Longitudinal and Survival Data with Applications to Cancer Clinical Trials | |
Rui Zhang, University of Washington | |
Marginalizable Conditional Model for Clustered Binary Data | |
Year | Student Travel Award Recipients |
2016 | Fei Gao, University of North Carolina at Chapel Hill |
Semiparametric estimation of the accelerated failure time model with partly interval-censored data | |
Kevin Lee, The Pennsylvania State University | |
Nonparametric mixture of Gaussian graphical models, with applications to attention deficit hyperactivity disorder (ADHD) imaging data | |
Ziyi Li, Emory University | |
Incorporating biological information in sparse principal component analysis with application to genomic data | |
Yi Lu, Ohio State University | |
Bayesian registration of functions with a Gaussian process prior | |
So Young Park, North Carolina State University | |
Optimal design for sampling functional data | |
2015 | Yuan Huang, Pennsylvania State University |
Projection test for high-dimensional mean vectors with optimal direction | |
Weichen Wang, Princeton University | |
Projected principal component analysis in factor models | |
Chongliang Luo, University of Connecticut | |
Canonical variate regression | |
Yanping Liu, Temple University | |
A new approach to multiple testing of grouped hypotheses | |
Yinfei Kong, University of Southern California | |
Innovated interaction screening for highdimensional nonlinear classification | |
2014 | Ting-Huei Chen, University of North Carolina at Chapel Hill. |
Multiple genetic loci mapping for latent disease liability using a structural equation modeling approach with application in Alzheimer’s disease | |
Haolei Weng, Columbia University | |
Regularization after retention in ultrahigh dimensional linear regression models | |
Ran Tao, University of North Carolina at Chapel Hill | |
Analysis of sequence data under multivariate trait-dependent sampling | |
Hsin-Wen Chang, Columbia University | |
Empirical likelihood based tests for stochastic ordering under right censorship | |
Qiang Sun, University of North Carolina at Chapel Hill | |
Hard thresholded regression via linear programming | |
2013 | Fang Han, Johns Hopkins University |
Optimal Sparse Principal Component Analysis in High Dimensional Elliptical Model | |
Lan Liu, University of North Carolina | |
Large Sample Randomization Inference of Causal Effects in the Presence of Interference | |
Qiang Sun, University of North Carolina | |
SPReM: Sparse Projection Regression Model | |
Mengdie Yuan, George Mason University | |
Semiparametric Odds Rate Model for Modeling Short-term and Long-term Effects | |
Stephanie S. Zhang, Columbia University | |
Non-identifability, Equivalence Classes, and Attribute-specific Classification in Q-matrix Based Cognitive Diagnosis Models | |
2012 | Peisong Han, University of Michigan |
Efficient Estimation For Missing Outcome Data With Surrogate Using Conditional Empirical Likelihood | |
Xueying Chen, Rutgers University | |
A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data | |
Sy Han Chiou, University of Connecticut | |
Semiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations | |
Olivia Yueh‐Wen Liao, Stanford University | |
Biomarker-Based Adaptive Accrual Designs for Confirmatory Oncology Trials | |
2011 | Ada Lau, University of Oxford |
Spatiotemporal Wind Power Probabilistic Forecasts Using Latent | |
Dungang Liu, Rutgers University | |
Exact meta-analysis approach for the common odds ratio of 2 × 2 tables with rare events | |
Ying Yuan, University of North Carolina at Chapel Hill | |
Varying Coefficient Models for Modeling Diffusion Tensors Along White Matter Fiber | |
2010 | Xu He, University of Wisconsin-Madison |
Subgroups defined by two or more genetic markers in genome-wide association studies | |
Miguel Marino, Harvard School of Public Health | |
Statisticsal Inference in Factor Analysis for High-Dimensional, Low-Sample Size Data: Understanding the Change Patterns of the US Cancer Mortality Rates | |
Xingye Qiao, Dept. of Statistics and Operations Research, University of North Carolina, Chapel Hill | |
Pairwise Variable Selection for Classification | |
Sihai Dave Zhao, Dept. of Biostatistics, Harvard School of Public Health | |
Principled sure independence screening for Cox models with ultra-high-dimensional covariates | |
2009 | Jane Paik, Columbia University |
Semiparametric Inference of Linear Transformation Models with Lenth-Biased Censored Data | |
Nengfeng Zhou, University of Michigan | |
Group Variable Selection via a Hierarchical LASSO and its Oracle Property | |
Hung Hung, National Taiwan University | |
Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve | |
2008 | Michael C. Wu, Harvard University |
Use of Sparse Linear Discriminant Analysis in Testing Gene Pathways | |
Min Yuan, University of Science and Technology of China | |
Two-stage Genome-wide Association Studies with DNA Pooling and Genetic Model Selection | |
Megan Othus, Harvard University | |
A Class of Semiparametric Mixture Cure Survival Models with Dependent Censoring | |
2007 | Xiao Ni, North Carolina State University |
Automatic model selection for partial linear models | |
Clifford Lam, Princeton University | |
Profile-kernel likelihood inference with diverging number of parameters | |
Ping Bai, University of North Carolina – Chapel Hill | |
Robust singular value decomposition and its application to independent component analysis for fMRI | |
2006 | Fang Yu, University of Connecticut |
Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues | |
Xin He, University of Missouri-Columbia | |
Regression Analysis of Multivariate Panel Count Data | |
Minggen Lu, The University of Iowa | |
Estimation of the Mean Function with Panel Count Data Using Monotone Polynomial Splines | |
Pang Du, Purdue University | |
Nonparametric Smoothing Spline model for Gap Time Hazard Function in Recurrent Event Data | |
2005 | Haipen Xing, Stanford University |
Change-point stochastic regression models with applications to econometric time series | |
Chong Wang, Cornell University | |
Bayesian non-parametric estimation of ROC curves when the true disease state is unknown |
Student Travel Award Recipients